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006: Financial Modeling and Data Science, Inputs vs Assumptions and Going Big with Xinran Liu

Super Data Science: ML & AI Podcast with Jon Krohn

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Importance of Assumptions in Financial Modeling

This chapter delves into the crucial role of assumptions in financial modeling, stressing the significance of accurate inputs for models and their impact on the precision of financial projections. It discusses how assumptions can be derived from various sources like economic expertise, judgment calls, and collaborations with experts, along with using scientific methods for data accuracy. Furthermore, the chapter explores the diverse backgrounds of financial modelers, tools like Excel for modeling, and the necessity of adapting model structures to meet evolving business questions and challenges.

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